DR

Dataset statistics

Number of variables	14
Number of observations	1.133
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	226.0 KiB
Average record size in memory	204.2 B

Variable types

Categorical	3
Numeric	11

Alerts

`deaths` is highly overall correlated with `match_time_s`	High correlation
`kills` is highly overall correlated with `mvps` and 1 other fields	High correlation
`match_time_s` is highly overall correlated with `deaths` and 1 other fields	High correlation
`month` is highly overall correlated with `year`	High correlation
`mvps` is highly overall correlated with `kills` and 1 other fields	High correlation
`ping` is highly overall correlated with `wait_time_s`	High correlation
`points` is highly overall correlated with `kills` and 2 other fields	High correlation
`wait_time_s` is highly overall correlated with `ping`	High correlation
`year` is highly overall correlated with `month`	High correlation
`wait_time_s` has 13 (1.1%) zeros	Zeros
`ping` has 78 (6.9%) zeros	Zeros
`assists` has 43 (3.8%) zeros	Zeros
`mvps` has 228 (20.1%) zeros	Zeros
`hs_percent` has 52 (4.6%) zeros	Zeros

Reproduction

Analysis started	2024-11-20 15:21:35.280768
Analysis finished	2024-11-20 15:21:46.761711
Duration	11.48 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

map
Categorical

Distinct	10
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	61.7 KiB

Dust II	547
Mirage	363
Inferno	132
Cache	59
Overpass	13
Other values (5)	19

Length

Max length	11
Median length	7
Mean length	6.6160635
Min length	4

Characters and Unicode

Total characters	7.496
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.3%

Sample

1st row	Mirage
2nd row	Mirage
3rd row	Mirage
4th row	Mirage
5th row	Mirage

Common Values

Value	Count	Frequency (%)
Dust II	547	48.3%
Mirage	363	32.0%
Inferno	132	11.7%
Cache	59	5.2%
Overpass	13	1.1%
Cobblestone	12	1.1%
Nuke	4	0.4%
Austria	1	0.1%
Canals	1	0.1%
Italy	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
dust	547	32.6%
ii	547	32.6%
mirage	363	21.6%
inferno	132	7.9%
cache	59	3.5%
overpass	13	0.8%
cobblestone	12	0.7%
nuke	4	0.2%
austria	1	0.1%
canals	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
I	1227	16.4%
e	595	7.9%
s	587	7.8%
t	561	7.5%
u	552	7.4%
D	547	7.3%
	547	7.3%
r	509	6.8%
a	439	5.9%
i	364	4.9%
Other values (17)	1568	20.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7496	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
I	1227	16.4%
e	595	7.9%
s	587	7.8%
t	561	7.5%
u	552	7.4%
D	547	7.3%
	547	7.3%
r	509	6.8%
a	439	5.9%
i	364	4.9%
Other values (17)	1568	20.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7496	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
I	1227	16.4%
e	595	7.9%
s	587	7.8%
t	561	7.5%
u	552	7.4%
D	547	7.3%
	547	7.3%
r	509	6.8%
a	439	5.9%
i	364	4.9%
Other values (17)	1568	20.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7496	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
I	1227	16.4%
e	595	7.9%
s	587	7.8%
t	561	7.5%
u	552	7.4%
D	547	7.3%
	547	7.3%
r	509	6.8%
a	439	5.9%
i	364	4.9%
Other values (17)	1568	20.9%

day
Real number (ℝ)

Distinct	31
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.598411

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	9
median	18
Q3	24
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.7119327
Coefficient of variation (CV)	0.52486545
Kurtosis	-1.1487446
Mean	16.598411
Median Absolute Deviation (MAD)	7
Skewness	-0.13596885
Sum	18806
Variance	75.897771
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
22	52	4.6%
20	50	4.4%
19	49	4.3%
23	48	4.2%
27	47	4.1%
28	46	4.1%
1	45	4.0%
12	43	3.8%
9	42	3.7%
18	42	3.7%
Other values (21)	669	59.0%

Value	Count	Frequency (%)
1	45	4.0%
2	27	2.4%
3	20	1.8%
4	19	1.7%
5	35	3.1%
6	39	3.4%
7	38	3.4%
8	37	3.3%
9	42	3.7%
10	27	2.4%

Value	Count	Frequency (%)
31	34	3.0%
30	28	2.5%
29	28	2.5%
28	46	4.1%
27	47	4.1%
26	38	3.4%
25	36	3.2%
24	40	3.5%
23	48	4.2%
22	52	4.6%

month
Real number (ℝ)

High correlation

Distinct	12
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.0697264

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.3021424
Coefficient of variation (CV)	0.46708207
Kurtosis	-1.1116133
Mean	7.0697264
Median Absolute Deviation (MAD)	3
Skewness	-0.1718291
Sum	8010
Variance	10.904145
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
8	128	11.3%
6	122	10.8%
11	115	10.2%
12	109	9.6%
9	105	9.3%
10	102	9.0%
4	99	8.7%
5	80	7.1%
2	77	6.8%
3	72	6.4%
Other values (2)	124	10.9%

Value	Count	Frequency (%)
1	53	4.7%
2	77	6.8%
3	72	6.4%
4	99	8.7%
5	80	7.1%
6	122	10.8%
7	71	6.3%
8	128	11.3%
9	105	9.3%
10	102	9.0%

Value	Count	Frequency (%)
12	109	9.6%
11	115	10.2%
10	102	9.0%
9	105	9.3%
8	128	11.3%
7	71	6.3%
6	122	10.8%
5	80	7.1%
4	99	8.7%
3	72	6.4%

year
Categorical

High correlation

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	61.0 KiB

2017.0	449
2015.0	408
2018.0	167
2016.0	109

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	6.798
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2018.0
2nd row	2018.0
3rd row	2018.0
4th row	2018.0
5th row	2018.0

Common Values

Value	Count	Frequency (%)
2017.0	449	39.6%
2015.0	408	36.0%
2018.0	167	14.7%
2016.0	109	9.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2017.0	449	39.6%
2015.0	408	36.0%
2018.0	167	14.7%
2016.0	109	9.6%

Most occurring characters

Value	Count	Frequency (%)
0	2266	33.3%
2	1133	16.7%
1	1133	16.7%
.	1133	16.7%
7	449	6.6%
5	408	6.0%
8	167	2.5%
6	109	1.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2266	33.3%
2	1133	16.7%
1	1133	16.7%
.	1133	16.7%
7	449	6.6%
5	408	6.0%
8	167	2.5%
6	109	1.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2266	33.3%
2	1133	16.7%
1	1133	16.7%
.	1133	16.7%
7	449	6.6%
5	408	6.0%
8	167	2.5%
6	109	1.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2266	33.3%
2	1133	16.7%
1	1133	16.7%
.	1133	16.7%
7	449	6.6%
5	408	6.0%
8	167	2.5%
6	109	1.6%

wait_time_s
Real number (ℝ)

High correlation Zeros

Distinct	341
Distinct (%)	30.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	118.5331

Minimum	0
Maximum	589
Zeros	13
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	9
median	48
Q3	213
95-th percentile	379.4
Maximum	589
Range	589
Interquartile range (IQR)	204

Descriptive statistics

Standard deviation	134.12968
Coefficient of variation (CV)	1.13158
Kurtosis	-0.014647036
Mean	118.5331
Median Absolute Deviation (MAD)	46
Skewness	1.0337844
Sum	134298
Variance	17990.772
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	49	4.3%
1	48	4.2%
2	37	3.3%
5	32	2.8%
10	31	2.7%
4	27	2.4%
8	21	1.9%
6	21	1.9%
7	21	1.9%
11	17	1.5%
Other values (331)	829	73.2%

Value	Count	Frequency (%)
0	13	1.1%
1	48	4.2%
2	37	3.3%
3	49	4.3%
4	27	2.4%
5	32	2.8%
6	21	1.9%
7	21	1.9%
8	21	1.9%
9	17	1.5%

Value	Count	Frequency (%)
589	1	0.1%
571	1	0.1%
551	1	0.1%
541	1	0.1%
529	1	0.1%
521	1	0.1%
518	1	0.1%
510	1	0.1%
503	1	0.1%
500	1	0.1%

match_time_s
Real number (ℝ)

High correlation

Distinct	848
Distinct (%)	74.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2291.4387

Minimum	630
Maximum	3603
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	630
5-th percentile	1520.6
Q1	1942
median	2311
Q3	2648
95-th percentile	3025.6
Maximum	3603
Range	2973
Interquartile range (IQR)	706

Descriptive statistics

Standard deviation	474.52433
Coefficient of variation (CV)	0.20708576
Kurtosis	-0.27017807
Mean	2291.4387
Median Absolute Deviation (MAD)	355
Skewness	-0.22528969
Sum	2596200
Variance	225173.34
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2459	4	0.4%
1906	4	0.4%
1951	4	0.4%
2266	4	0.4%
2472	4	0.4%
2443	4	0.4%
2340	3	0.3%
2728	3	0.3%
2445	3	0.3%
1659	3	0.3%
Other values (838)	1097	96.8%

Value	Count	Frequency (%)
630	1	0.1%
668	1	0.1%
880	1	0.1%
922	1	0.1%
924	1	0.1%
937	1	0.1%
981	1	0.1%
983	1	0.1%
1023	1	0.1%
1116	1	0.1%

Value	Count	Frequency (%)
3603	1	0.1%
3467	1	0.1%
3429	1	0.1%
3403	1	0.1%
3364	1	0.1%
3345	1	0.1%
3344	1	0.1%
3327	1	0.1%
3265	1	0.1%
3259	1	0.1%

ping
Real number (ℝ)

High correlation Zeros

Distinct	187
Distinct (%)	16.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72.494263

Minimum	0
Maximum	724
Zeros	78
Zeros (%)	6.9%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	76
Q3	92
95-th percentile	164
Maximum	724
Range	724
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	65.995966
Coefficient of variation (CV)	0.91036122
Kurtosis	20.064676
Mean	72.494263
Median Absolute Deviation (MAD)	36
Skewness	3.34517
Sum	82136
Variance	4355.4675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	78	6.9%
90	39	3.4%
88	29	2.6%
85	28	2.5%
89	28	2.5%
92	27	2.4%
87	26	2.3%
39	25	2.2%
82	23	2.0%
40	23	2.0%
Other values (177)	807	71.2%

Value	Count	Frequency (%)
0	78	6.9%
9	1	0.1%
10	1	0.1%
11	5	0.4%
12	4	0.4%
13	8	0.7%
14	11	1.0%
15	14	1.2%
16	11	1.0%
17	6	0.5%

Value	Count	Frequency (%)
724	1	0.1%
632	1	0.1%
563	1	0.1%
449	1	0.1%
422	1	0.1%
390	1	0.1%
387	1	0.1%
384	2	0.2%
376	1	0.1%
363	1	0.1%

kills
Real number (ℝ)

High correlation

Distinct	36
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.70609

Minimum	0
Maximum	36
Zeros	8
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	11
median	14
Q3	18
95-th percentile	25
Maximum	36
Range	36
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.9487749
Coefficient of variation (CV)	0.40451098
Kurtosis	0.21124152
Mean	14.70609
Median Absolute Deviation (MAD)	4
Skewness	0.25112063
Sum	16662
Variance	35.387922
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
13	92	8.1%
15	78	6.9%
12	77	6.8%
17	74	6.5%
11	72	6.4%
16	71	6.3%
14	66	5.8%
10	64	5.6%
18	57	5.0%
19	54	4.8%
Other values (26)	428	37.8%

Value	Count	Frequency (%)
0	8	0.7%
1	10	0.9%
2	4	0.4%
3	7	0.6%
4	7	0.6%
5	22	1.9%
6	26	2.3%
7	43	3.8%
8	28	2.5%
9	46	4.1%

Value	Count	Frequency (%)
36	2	0.2%
34	2	0.2%
33	1	0.1%
32	1	0.1%
31	3	0.3%
30	3	0.3%
29	5	0.4%
28	6	0.5%
27	9	0.8%
26	16	1.4%

assists
Real number (ℝ)

Zeros

Distinct	15
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.1588703

Minimum	0
Maximum	14
Zeros	43
Zeros (%)	3.8%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	8
Maximum	14
Range	14
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.3634816
Coefficient of variation (CV)	0.56829895
Kurtosis	0.68523804
Mean	4.1588703
Median Absolute Deviation (MAD)	2
Skewness	0.6338052
Sum	4712
Variance	5.5860454
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
4	196	17.3%
3	179	15.8%
5	173	15.3%
2	151	13.3%
6	120	10.6%
1	98	8.6%
7	82	7.2%
8	44	3.9%
0	43	3.8%
9	18	1.6%
Other values (5)	29	2.6%

Value	Count	Frequency (%)
0	43	3.8%
1	98	8.6%
2	151	13.3%
3	179	15.8%
4	196	17.3%
5	173	15.3%
6	120	10.6%
7	82	7.2%
8	44	3.9%
9	18	1.6%

Value	Count	Frequency (%)
14	2	0.2%
13	2	0.2%
12	5	0.4%
11	4	0.4%
10	16	1.4%
9	18	1.6%
8	44	3.9%
7	82	7.2%
6	120	10.6%
5	173	15.3%

deaths
Real number (ℝ)

High correlation

Distinct	28
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.034422

Minimum	0
Maximum	27
Zeros	2
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0
5-th percentile	8
Q1	14
median	18
Q3	21
95-th percentile	23
Maximum	27
Range	27
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.7924832
Coefficient of variation (CV)	0.28134111
Kurtosis	0.43894676
Mean	17.034422
Median Absolute Deviation (MAD)	3
Skewness	-0.83456697
Sum	19300
Variance	22.967895
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
17	116	10.2%
20	109	9.6%
21	106	9.4%
18	101	8.9%
19	97	8.6%
22	95	8.4%
16	77	6.8%
15	50	4.4%
14	48	4.2%
23	48	4.2%
Other values (18)	286	25.2%

Value	Count	Frequency (%)
0	2	0.2%
1	2	0.2%
2	3	0.3%
3	6	0.5%
4	7	0.6%
5	8	0.7%
6	8	0.7%
7	13	1.1%
8	25	2.2%
9	25	2.2%

Value	Count	Frequency (%)
27	1	0.1%
26	7	0.6%
25	13	1.1%
24	23	2.0%
23	48	4.2%
22	95	8.4%
21	106	9.4%
20	109	9.6%
19	97	8.6%
18	101	8.9%

mvps
Real number (ℝ)

High correlation Zeros

Distinct	9
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.8252427

Minimum	0
Maximum	8
Zeros	228
Zeros (%)	20.1%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	8
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4876993
Coefficient of variation (CV)	0.81506929
Kurtosis	0.66210619
Mean	1.8252427
Median Absolute Deviation (MAD)	1
Skewness	0.86100925
Sum	2068
Variance	2.2132492
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	304	26.8%
2	282	24.9%
0	228	20.1%
3	169	14.9%
4	92	8.1%
5	32	2.8%
6	18	1.6%
7	7	0.6%
8	1	0.1%

Value	Count	Frequency (%)
0	228	20.1%
1	304	26.8%
2	282	24.9%
3	169	14.9%
4	92	8.1%
5	32	2.8%
6	18	1.6%
7	7	0.6%
8	1	0.1%

Value	Count	Frequency (%)
8	1	0.1%
7	7	0.6%
6	18	1.6%
5	32	2.8%
4	92	8.1%
3	169	14.9%
2	282	24.9%
1	304	26.8%
0	228	20.1%

hs_percent
Real number (ℝ)

Zeros

Distinct	61
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.90203

Minimum	0
Maximum	100
Zeros	52
Zeros (%)	4.6%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	16
median	23
Q3	33
95-th percentile	50
Maximum	100
Range	100
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	13.672214
Coefficient of variation (CV)	0.54904014
Kurtosis	1.5098388
Mean	24.90203
Median Absolute Deviation (MAD)	8
Skewness	0.70889188
Sum	28214
Variance	186.92944
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	57	5.0%
20	55	4.9%
23	52	4.6%
0	52	4.6%
33	49	4.3%
25	48	4.2%
30	48	4.2%
15	39	3.4%
27	38	3.4%
21	36	3.2%
Other values (51)	659	58.2%

Value	Count	Frequency (%)
0	52	4.6%
3	2	0.2%
4	2	0.2%
5	9	0.8%
6	7	0.6%
7	19	1.7%
8	14	1.2%
9	21	1.9%
10	23	2.0%
11	30	2.6%

Value	Count	Frequency (%)
100	2	0.2%
75	1	0.1%
71	1	0.1%
66	4	0.4%
64	1	0.1%
62	3	0.3%
61	2	0.2%
60	5	0.4%
58	1	0.1%
57	4	0.4%

points
Real number (ℝ)

High correlation

Distinct	84
Distinct (%)	7.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.217123

Minimum	0
Maximum	89
Zeros	3
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0
5-th percentile	16
Q1	29
median	39
Q3	49
95-th percentile	64
Maximum	89
Range	89
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	14.898022
Coefficient of variation (CV)	0.37988564
Kurtosis	0.1743789
Mean	39.217123
Median Absolute Deviation (MAD)	10
Skewness	0.10814162
Sum	44433
Variance	221.95105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	37	3.3%
35	33	2.9%
37	33	2.9%
47	33	2.9%
33	32	2.8%
31	31	2.7%
44	31	2.7%
45	30	2.6%
42	30	2.6%
43	30	2.6%
Other values (74)	813	71.8%

Value	Count	Frequency (%)
0	3	0.3%
1	4	0.4%
2	3	0.3%
3	5	0.4%
4	3	0.3%
5	2	0.2%
7	5	0.4%
8	1	0.1%
9	1	0.1%
10	4	0.4%

Value	Count	Frequency (%)
89	2	0.2%
88	1	0.1%
83	2	0.2%
82	1	0.1%
81	1	0.1%
80	1	0.1%
78	1	0.1%
77	1	0.1%
76	1	0.1%
75	2	0.2%

result
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	58.2 KiB

Lost	560
Win	488
Tie	85

Length

Max length	4
Median length	3
Mean length	3.494263
Min length	3

Characters and Unicode

Total characters	3.959
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Win
2nd row	Lost
3rd row	Win
4th row	Lost
5th row	Tie

Common Values

Value	Count	Frequency (%)
Lost	560	49.4%
Win	488	43.1%
Tie	85	7.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
lost	560	49.4%
win	488	43.1%
tie	85	7.5%

Most occurring characters

Value	Count	Frequency (%)
i	573	14.5%
L	560	14.1%
o	560	14.1%
s	560	14.1%
t	560	14.1%
W	488	12.3%
n	488	12.3%
T	85	2.1%
e	85	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3959	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	573	14.5%
L	560	14.1%
o	560	14.1%
s	560	14.1%
t	560	14.1%
W	488	12.3%
n	488	12.3%
T	85	2.1%
e	85	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3959	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	573	14.5%
L	560	14.1%
o	560	14.1%
s	560	14.1%
t	560	14.1%
W	488	12.3%
n	488	12.3%
T	85	2.1%
e	85	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3959	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	573	14.5%
L	560	14.1%
o	560	14.1%
s	560	14.1%
t	560	14.1%
W	488	12.3%
n	488	12.3%
T	85	2.1%
e	85	2.1%

	assists	day	deaths	hs_percent	kills	map	match_time_s	month	mvps	ping	points	result	wait_time_s	year
assists	1.000	-0.002	0.311	0.078	0.275	0.140	0.321	-0.035	0.210	0.124	0.421	0.121	0.002	0.000
day	-0.002	1.000	-0.034	0.016	-0.069	0.032	-0.009	-0.095	-0.005	0.093	-0.052	0.000	0.129	0.178
deaths	0.311	-0.034	1.000	0.082	0.208	0.028	0.631	0.015	0.011	0.127	0.240	0.400	-0.012	0.044
hs_percent	0.078	0.016	0.082	1.000	-0.008	0.000	0.015	0.047	-0.035	-0.047	-0.005	0.088	-0.069	0.084
kills	0.275	-0.069	0.208	-0.008	1.000	0.000	0.443	0.021	0.612	0.158	0.945	0.223	0.053	0.079
map	0.140	0.032	0.028	0.000	0.000	1.000	0.000	0.142	0.000	0.082	0.000	0.000	0.105	0.295
match_time_s	0.321	-0.009	0.631	0.015	0.443	0.000	1.000	-0.008	0.236	0.082	0.502	0.306	0.109	0.093
month	-0.035	-0.095	0.015	0.047	0.021	0.142	-0.008	1.000	0.027	-0.256	0.021	0.050	-0.345	0.575
mvps	0.210	-0.005	0.011	-0.035	0.612	0.000	0.236	0.027	1.000	0.119	0.643	0.246	0.041	0.065
ping	0.124	0.093	0.127	-0.047	0.158	0.082	0.082	-0.256	0.119	1.000	0.139	0.000	0.535	0.483
points	0.421	-0.052	0.240	-0.005	0.945	0.000	0.502	0.021	0.643	0.139	1.000	0.245	0.035	0.086
result	0.121	0.000	0.400	0.088	0.223	0.000	0.306	0.050	0.246	0.000	0.245	1.000	0.022	0.032
wait_time_s	0.002	0.129	-0.012	-0.069	0.053	0.105	0.109	-0.345	0.041	0.535	0.035	0.022	1.000	0.479
year	0.000	0.178	0.044	0.084	0.079	0.295	0.093	0.575	0.065	0.483	0.086	0.032	0.479	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	map	day	month	year	wait_time_s	match_time_s	ping	kills	assists	deaths	mvps	hs_percent	points	result
0	Mirage	3.0	8.0	2018.0	327.0	2906.0	215.0	17.0	2.0	21.0	2.0	5.0	45.0	Win
1	Mirage	2.0	8.0	2018.0	336.0	2592.0	199.0	13.0	4.0	24.0	2.0	0.0	40.0	Lost
2	Mirage	31.0	7.0	2018.0	414.0	2731.0	85.0	15.0	3.0	18.0	3.0	26.0	37.0	Win
3	Mirage	31.0	7.0	2018.0	317.0	2379.0	93.0	12.0	2.0	15.0	2.0	16.0	30.0	Lost
4	Mirage	30.0	7.0	2018.0	340.0	3467.0	94.0	33.0	5.0	20.0	5.0	30.0	83.0	Tie
5	Mirage	29.0	7.0	2018.0	391.0	1881.0	88.0	13.0	2.0	17.0	1.0	38.0	34.0	Lost
6	Dust II	28.0	7.0	2018.0	274.0	3194.0	89.0	19.0	5.0	24.0	2.0	15.0	52.0	Lost
7	Mirage	27.0	7.0	2018.0	291.0	2859.0	82.0	17.0	1.0	25.0	0.0	35.0	37.0	Lost
8	Mirage	27.0	7.0	2018.0	184.0	2300.0	112.0	25.0	10.0	12.0	4.0	16.0	70.0	Win
9	Mirage	27.0	7.0	2018.0	375.0	2184.0	89.0	13.0	1.0	17.0	0.0	61.0	31.0	Lost

	map	day	month	year	wait_time_s	match_time_s	ping	kills	assists	deaths	mvps	hs_percent	points	result
1123	Dust II	25.0	7.0	2015.0	0.0	2029.0	24.0	12.0	3.0	17.0	1.0	25.0	29.0	Lost
1124	Dust II	24.0	7.0	2015.0	41.0	2845.0	22.0	15.0	7.0	22.0	1.0	60.0	42.0	Win
1125	Dust II	24.0	7.0	2015.0	5.0	2349.0	34.0	13.0	1.0	21.0	1.0	30.0	28.0	Lost
1126	Dust II	24.0	7.0	2015.0	26.0	1834.0	23.0	6.0	3.0	15.0	0.0	50.0	17.0	Win
1127	Dust II	23.0	7.0	2015.0	68.0	1819.0	99.0	10.0	5.0	12.0	1.0	30.0	30.0	Win
1128	Dust II	23.0	7.0	2015.0	2.0	1573.0	46.0	12.0	2.0	20.0	0.0	16.0	26.0	Lost
1129	Dust II	23.0	7.0	2015.0	29.0	2126.0	41.0	19.0	6.0	21.0	2.0	31.0	51.0	Lost
1130	Dust II	23.0	7.0	2015.0	10.0	2555.0	17.0	9.0	3.0	20.0	2.0	55.0	30.0	Lost
1131	Dust II	23.0	7.0	2015.0	9.0	2293.0	20.0	11.0	4.0	20.0	1.0	27.0	31.0	Lost
1132	Dust II	23.0	7.0	2015.0	3.0	1858.0	16.0	6.0	3.0	15.0	1.0	16.0	23.0	Win

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample